monotoSTEREO.info | RESEARCH (S

RESEARCH [S - SH]

Scroll down to find direct links to publicly posted research papers, presentations, etc. in the field of sound source separation and related topics. I have listed them in alphabetical order by title for ease of browsing and have provided these links, which are available on the web, for your convenience. I have provided permalinks for those papers available for a fee. Titles without a link can be found through a web search. Please use the CONTACT page to notify me of any corrections, to supply suggestions for adding any additional pertinent links, or to notify me if you encounter any dead links in this list. Thanks!

SAMPLING-FREQUENCY-INDEPENDENT AUDIO SOURCE SEPARATION USING CONVOLUTION LAYER BASED ON IMPULSE INVARIANT METHOD [PDF]

Koichi Saito†, Tomohiko Nakamura†, Kohei Yatabe‡, Yuma Koizumi⋆, Hiroshi Saruwatari†, †Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan, ‡Department of Intermedia Art and Science, Waseda University, Tokyo, Japan, ⋆NTT Corporation, Tokyo, Japan (2021)

SAMS-NET: A SLICED ATTENTION-BASED NEURAL NETWORK FOR MUSIC SOURCE SEPARATION [PDF]

Tingle Li1,3, Jiawei Chen3, Haowen Hou4, Ming Li1,2, 1Data Science Research Center, Duke Kunshan University, Kunshan, China, 2School of Computer Science, Wuhan University, Wuhan, China, 3School of Computer Science and Technology, Tiangong University, Tianjin, China, 4AI Platform Department, Tencent Inc., Shenzhen, China (2020)

SAMS-NET: A SLICED ATTENTION-BASED NEURAL NETWORK FOR MUSIC SOURCE SEPARATION (examples)

SATB VOICE SEGREGATION FOR MONOAURAL RECORDINGS [PDF direct download]

Darius Arthur Pétermann, Universitat Pompeu Fabra, Barcelona, Spain (2020)

SCALABLE AUDIO SEPARATION WITH LIGHT KERNEL ADDITIVE MODELLING [PDF]

Antoine Liutkus1, Derry FitzGerald2, Zafar Rafii3, 1Inria, Université de Lorraine, LORIA, France, 2NIMBUS Centre, Cork Institute of Technology, Ireland, 3Gracenote, Media Technology Lab, Emeryville, California, USA (2015)

SCALABLE AUDIO SEPARATION WITH LIGHT KERNEL ADDITIVE MODELLING (slides) [PDF]

SCALE-INVARIANT PROBABILISTIC LATENT COMPONENT ANALYSIS

Romain Hennequin, Roland Badeau and Bertrand David, Institut Telecom, Telecom ParisTech, Paris, France <hal-00960765> (2014)

SCNET: SPARSE COMPRESSION NETWORK FOR MUSIC SOURCE SEPARATION [PDF]

Weinan Tong1,2,‡ , Jiaxu Zhu1,† , Jun Chen1, Shiyin Kang2,∗, Tao Jiang2, Yang Li2, Zhiyong Wu1,3,∗, Helen Meng4, 1 Shenzhen International Graduate School, Tsinghua University, Shenzhen, China, 2 Skywork AI PTE. LTD., 3 Peng Cheng Lab, Shenzhen, China, 4 The Chinese University of Hong Kong, Hong Kong SAR, China (2024)

SCORE GUIDED AUDIO RESTORATION VIA GENERALISED COUPLED TENSOR FACTORISATION [PDF]

Umut Şimşekli, Y. Kenan Yılmaz, A. Taylan Cemgil, Dept. of Computer Engineering Boğaziçi University, Bebek, İstanbul, Turkey (2012)

SCORE GUIDED MUSICAL SOURCE SEPARATION USING GENERALIZED COUPLED TENSOR FACTORIZATION [PDF]

Umut Şimşekli, A. Taylan Cemgil, Boğaziçi University, Dept. of Computer Engineering, İstanbul, Turkey (2012)

SCORE-INFORMED AND TIMBRE INDEPENDENT LEAD INSTRUMENT SEPARATION IN REAL-WORLD SCENARIOS [PDF]

Juan J. Bosch1, Kazunobu Kondo1, Ricard Marxer2 and Jordi Janer2, 1 Corporate Research & Development Center, Yamaha Corporation, Shizuoka-ken, Japan, 2 Universitat Pompeu Fabra, Music Technology Group, Barcelona, Spain (2012)

SCORE-INFORMED AUDIO DECOMPOSITION AND APPLICATIONS [PDF]

Jonathan Driedger, International Audio Laboratories Erlangen, Harald Grohganz, Bonn University, Thomas Prätzlich, International Audio Laboratories Erlangen, Sebastian Ewert, Queen Mary University of London, Meinard Müller, International Audio Laboratories Erlangen (2013)

SCORE-INFORMED AUDIO DECOMPOSITION AND APPLICATIONS (abstract, video spotlight, demo)

SCORE INFORMED AUDIO SOURCE SEPARATION USING A PARAMETRIC MODEL OF NON-NEGATIVE SPECTROGRAM [PDF]

Romain Hennequin, Bertrand David, and Roland Badeau, Institut Telecom, Telecom ParisTech, Paris, France (2011)

SCORE INFORMED AUDIO SOURCE SEPARATION USING A PARAMETRIC MODEL OF NON-NEGATIVE SPECTROGRAM (video presentation)
Presented by Romain Hennequin, Authors: Romain Hennequin, Bertrand David, and Roland Badeau, Institut Telecom, Telecom ParisTech, Paris, France (2011)

SCORE INFORMED AUDIO SOURCE SEPARATION USING A PARAMETRIC MODEL OF NON-NEGATIVE SPECTROGRAM (slides) [PDF direct download]
Presented by Romain Hennequin, Authors: Romain Hennequin, Bertrand David, and Roland Badeau, Institut Telecom, Telecom ParisTech, Paris, France (2011)

SCORE INFORMED AUDIO SOURCE SEPARATION USING CONSTRAINED NONNEGATIVE MATRIX FACTORIZATION AND SCORE SYNTHESIS [permalink]

Joachim Fritsch, Master ATIAM, University Pierre and Marie Curie, Paris, France, Mark D. Plumbley, Centre for Digital Music, Queen Mary University of London, London, UK (2013)

SCORE-INFORMED LEADING VOICE SEPARATION FROM MONAURAL AUDIO [PDF]

Cyril Joder, Björn Schuller, Institute for Human-Machine Communication, Technische Universität München, Germany (2012)

SCORE-INFORMED MUSICAL SOURCE SEPARATION AND RECONSTRUCTION

Yushen Han, School of Informatics and Computing, Indiana University Bloomington (2013)

SCORE-INFORMED SOURCE SEPARATION (presentation) [PDF]

Zhiyao Duan, ECE 477 - Computer Audition (2022)

SCORE-INFORMED SOURCE SEPARATION FOR MUSICAL AUDIO RECORDINGS: AN OVERVIEW [PDF]

Sebastian Ewert⋆, Bryan Pardo†, Meinard Müllerᵀ, Mark D. Plumbley⋆, ⋆Queen Mary University of London, London, United Kingdom, †Northwestern University, Evanston, IL, USA, ᵀInternational Audio Laboratories Erlangen, Erlangen, Germany (2014)

SCORE-INFORMED SOURCE SEPARATION FOR MUSIC SIGNALS [PDF]

Sebastian Ewert, Institute for Computer Science III, University of Bonn, Bonn, Germany, Meinard Müller, Saarland University and MPI Informatik, Saarbrücken, Germany (2012)

SCORE-INFORMED SOURCE SEPARATION OF CHORAL MUSIC [PDF]

Matan Gover - Music Technology - M.A. Thesis Proposal (2019)

SCORE-INFORMED SOURCE SEPARATION OF CHORAL MUSIC (Supplementary material for ISMIR 2020)

Matan Gover - Music Technology - M.A. Thesis Proposal (2019)

SCORE-INFORMED SOURCE SEPARATION OF CHORAL MUSIC (video)

Matan Gover - Music Technology - M.A. Thesis Proposal (2019)

SCORE-INFORMED SPARSENESS FOR SOURCE SEPARATION [PDF]

Christian Rohlfing, Martin Spiertz, Volker Gnann, Institut für Nachrichtentechnik, RWTH Aachen University, Aachen, Germany (2011)

SCORE-INFORMED VOICE SEPARATION FOR PIANO RECORDINGS [PDF]

Sebastian Ewert, Meinard Müller, 12th International Society for Music Information Retrieval Conference (2011)

SECOND FIDDLE IS IMPORTANT TOO: PITCH TRACKING INDIVIDUAL VOICES IN POLYPHONIC MUSIC [PDF]

Mert Bay2, Andreas F. Ehmann2, James W. Beauchamp2, Paris Smaragdis1,2 and J. Stephen Downie3, 1Department of Computer Science, University of Illinois at Urbana-Champaign, 2Department of Electrical & Computer Eng., University of Illinois at Urbana-Champaign, 3Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign (2012)

SEEING SOUND: WHAT IS A SPECTROGRAM?

Greg Green, Audio Project Cataloguer, Unlocking our Sound Heritage (2018)

SEGMENTATION OF SINGING VOICE AND MUSICAL ACCOMPANIMENT IN AUDIO MIXTURE SIGNAL [PDF]

Ms. Monali R. Pimpale, Prof. Shanthi Therese, Prof. VinayakShinde, Department of computer Engineering, Mumbai University, India (2017)

SEGREGATING COMPLEX SOUND SOURCES THROUGH TEMPORAL COHERENCE [PDF]

Lakshmi Krishnan 1*, Mounya Elhilali 2, Shihab Shamma 1,3

1 Department of Electrical and Computer Engineering, University of Maryland, College Park, Maryland, United States of America, 2 Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, Maryland, United States of America, 3 Department Etudes Cognitive, Ecole Normale Superieure, Paris, France (2014)

SEGREGATION OF COMPLEX ACOUSTIC SCENES BASED ON TEMPORAL COHERENCE [PDF]

Sundeep Teki1†*, Maria Chait2†, Sukhbinder Kumar1,3, Shihab Shamma4,5, Timothy D Griffiths1,3, 1Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom; 2UCL Ear Institute, University College London, London, United Kingdom; 3Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom; 4The Institute for Systems Research, University of Maryland, College Park, United States; 5Département d’études cognitive, Ecole Normale Supérieure, Paris, France (2013)

SELF-ADAPTATION IN SINGLE-CHANNEL SOURCE SEPARATION [PDF]

Michael Wohlmayr1,a,b, Ludwig Mohr2, Franz Pernkopf2,b, 1 Commend International, Salzburg, Austria, 2 Signal Processing and Speech Communication Laboratory, Graz University of Technology, Graz, Austria (2014)

SELF-ATTENTION FOR AUDIO SUPER-RESOLUTION [PDF]

Nathanaël Carraz Rakotonirina, Université d’Antananarivo, Madagascar (2021)

SEMI-AUTOMATIC MONO TO STEREO UP-MIXING USING SOUND SOURCE FORMATION [permalink]

Mathieu Lagrange, Luis Gustavo Martins, George Tzanetakis, Proceedings of the Audio Engineering Convention (AES'07) Conference, Vienna, Austria (2007)

SEMI-AUTOMATIC MONO-TO-STEREO UPMIXING VIA SEPARATION OF NOTE EVENTS [permalink]

Alejandro Delgado Castro1 and John E. Szymanski2, 1,2Department of Electronic Engineering, University of York, UK. (2019)

SEMI-BLIND SOURCE SEPARATION VIA SPARSE REPRESENTATIONS AND ONLINE DICTIONARY LEARNING [PDF]

Sirisha Rambhatla and Jarvis Haupt, Department of Electrical and Computer Engineering, University of Minnesota – Twin Cities (2015)

SEMI-BLIND SPEECH-MUSIC SEPARATION USING SPARSITY AND CONTINUITY PRIORS [PDF]

Hakan Erdogan, Emad M. Grais, Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey (2010)

SEMI-SUPERVISED ADVERSARIAL AUDIO SOURCE SEPARATION APPLIED TO SINGING VOICE EXTRACTION (slides) [PDF]

Daniel Stoller, Sebastian Ewert, Simon Dixon, Centre for Digital Music, Queen Mary University London (2017)

SEMI-SUPERVISED MONAURAL SINGING VOICE SEPARATION WITH A MASKING NETWORK TRAINED ON SYNTHETIC MIXTURES [PDF]

Michael Michaelshvili1, Sagie Benaim1, Lior Wolf1,2, 1Tel Aviv University, 2 Facebook AI Research (2018)

SEMI-SUPERVISED MONAURAL SINGING VOICE SEPARATION WITH A MASKING NETWORK TRAINED ON SYNTHETIC MIXTURES (poster) [PDF]

Michael Michaelshvili1, Sagie Benaim1, Lior Wolf1,2, 1Tel Aviv University, 2 Facebook AI Research (2019)

SEMI-SUPERVISED MONAURAL SINGING VOICE SEPARATION WITH A MASKING NETWORK TRAINED ON SYNTHETIC MIXTURES (samples)

Michael Michaelshvili1, Sagie Benaim1, Lior Wolf1,2, 1Tel Aviv University, 2 Facebook AI Research (2018)

SELF-SUPERVISED MUSIC SOURCE SEPARATION USING VECTOR-QUANTIZED SOURCE CATEGORY ESTIMATES (page, examples)

Marco Pasini, Queen Mary University, London, UK, Stefan Lattner, Sony Computer Science Laboratories, Paris, France, György Fazekas, Queen Mary University, London, UK (2023)

SELF-SUPERVISED MUSIC SOURCE SEPARATION USING VECTOR-QUANTIZED SOURCE CATEGORY ESTIMATES [PDF]

Marco Pasini, Queen Mary University, London, UK, Stefan Lattner, Sony Computer Science Laboratories, Paris, France, György Fazekas, Queen Mary University, London, UK (2023)

SEMI-SUPERVISED NMF WITH TIME-FREQUENCY ANNOTATIONS FOR SINGLE-CHANNEL SOURCE SEPARATION [PDF]

Augustin Lefévre, Francis Bach, Cédric Févotte (2012)

SEMI-SUPERVISED NON-NEGATIVE TENSOR FACTORISATION OF MODULATION SPECTROGRAMS FOR MONAURAL SPEECH SEPARATION [permalink]

Tom Barker and Tuomas Virtanen, Department of Signal Processing, Tampere University of Technology, Tampere, Finland (2014)

SEMI-SUPERVISED SEPARATION OF INSTRUMENTS IN POLYPHONIC MUSIC (slides)

Seyed Ali Hassani, Shriram Nandakumar, Department of Signal Processing, Tampere University of Technology, Tampere, Finland (2015)

SEMI-SUPERVISED SINGING VOICE SEPARATION WITH NOISY SELF-TRAINING [PDF]

Zhepei Wang#, Ritwik Giri†, Umut Isik†, Jean-Marc Valin†, Arvindh Krishnaswamy†, †Amazon Web Services, #University of Illinois at Urbana-Champaign (2021)

SEMI-SUPERVISED SINGING VOICE SEPARATION WITH NOISY SELF-TRAINING (poster) [PDF]

Zhepei Wang#, Ritwik Giri†, Umut Isik†, Jean-Marc Valin†, Arvindh Krishnaswamy†, †Amazon Web Services, #University of Illinois at Urbana-Champaign (2021)

SEMI-SUPERVISED SUPPRESSION OF BACKGROUND MUSIC IN MONAURAL SPEECH RECORDINGS [PDF]

Jordi Feliu Hurtado, Fakultät Für Elektrotechnik und Informationstechnik, Der Technischen Universität München (2011)

SEPARAÇÃO DE FONTES DE MÚSICA ORIENTADA POR PARTITURA (in Portuguese)

Caio Vinícius Batista Pereira, Universidade de São Paulo, Escola Politécnica da USP - Laboratório de Processamento de Sinais

SEPARACIÓN DE FUENTES MUSICALES MEDIANTE REDES NEURONALES CONVOLUCIONALES CON MÚLTIPLES DECODIFICADORES [PDF direct download]

Leonardo Pepino 1, Laurence Bender 2, 1Universidad Nacional de Tres de Febrero, Ingeniería de Sonido, Buenos Aires, Argentina, 2 Universidad Nacional de Tres de Febrero, LAEIA, Buenos Aires, Argentina (2020)

SEPARACIÓN DE FUENTES SONORAS EN SEÑALES MUSICALES (in Spanish) [PDF]

Fransisco José Rodríguez Serrano, Universidad De Jaén, Escuela Politécnica Superior De Linares, Departamento De Ingenieria De Telecomunicación (2014)

SEPARATE ANYTHING YOU DESCRIBE [PDF]

Xubo Liu1, Qiuqiang Kong2, Yan Zhao2, Haohe Liu1, Yi Yuan1, Yuzhuo Liu2, Rui Xia2, Yuxuan Wang2, Mark D. Plumbley1, Wenwu Wang1, 1 Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guilford, UK, 2 Speech, Audio & Music Intelligence (SAMI) Group, ByteDance Inc. (2023)

SEPARATE WHAT YOU DESCRIBE: LANGUAGE-QUERIED AUDIO SOURCE SEPARATION [PDF]

Xubo Liu1, Haohe Liu1, Qiuqiang Kong2, Xinhao Mei1, Jinzheng Zhao1, Qiushi Huang1, Mark D. Plumbley1, Wenwu Wang1, 1School of Computer Science and Electronic Engineering, University of Surrey, UK 2Speech, Audio, and Music Intelligence (SAMI) Group, ByteDance, China (2022)

SEPARATING A FOREGROUND SINGER FROM BACKGROUND MUSIC [PDF]

Bhiksha Raj, Paris Smaragdis, Madhusudhana Shashanka, Rita Singh (2007)

SEPARATING HARMONIC AND INHARMONIC NOTE CONTENT FROM REAL MONO RECORDINGS [PDF]

Mark R. Every, University of York, Department of Electronics (2005)

SEPARATING MUSICAL AUDIO SIGNALS [PDF]

Mark D Plumbley, Director of the Centre for Digital Music, Queen Mary University of London (2014)

SEPARATING SINGING VOICE AND ACCOMPANIMENT FROM MONAURAL MUSIC (in Chinese) [PDF]

Yun Wang, Tsinghua University, Beijing, China (2010)

SEPARATING SOLO AND ORCHESTRA FROM MONAURAL AUDIO USING MIXTURE MODELS [permalink]

Christopher Raphael, Yushen Han, School of Informatics, Indiana University, Bloomington, Indiana (2007)

SEPARATING SOURCES FROM SINGLE-CHANNEL MUSICAL MATERIAL: A REVIEW AND FUTURE DIRECTIONS [PDF]

Georgios Siamantas - Audio Lab Department of Electronics, University of York, Mark R. Every - Centre for Vision, Speech and Signal Processing, University of Surrey, John E. Szymanski - Audio Lab Department of Electronics, University of York (2006)

SEPARATING VOCALS IN RECORDED MUSIC AT SPOTIFY (podcast)

Eric Humphrey, Music Understanding Group, Spotify (2018)

SEPARATING VOICES IN POLYPHONIC MUSIC: A CONTIG MAPPING APPROACH [permalink]

Elaine Chew, Xiaodan Wu, Epstein Department of Industrial and Systems Engineering, University of Southern California, Viterbi School of Engineering, Integrated Media Systems Center, Los Angeles, California (2005)

SEPARATION AND CLASSIFICATION OF HARMONIC SOUNDS FOR SINGING VOICE DETECTION [PDF]

Martín Rocamora1 and Alvaro Pardo2, 1 Institute of Electrical Engineering - School of Engineering, Universidad de la República, Uruguay, 2 Department of Electrical Engineering - School of Engineering and Technologies, Universidad Católica del Uruguay, Uruguay (2012)

SEPARATION AND COUNT ESTIMATION FOR AUDIO SOURCES OVERLAPPING IN TIME AND FREQUENCY [PDF direct download]

Fabian-Robert Stöter, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) (2020)

SEPARATION BY “HUMMING”: USER-GUIDED SOUND EXTRACTION FROM MONOPHONIC MIXTURES [permalink]

Paris Smaragdis, Advanced Technology Labs, Adobe Systems Inc., Gautham J. Mysore, Center for Computer Research in Music and Acoustics, Stanford University (2009)

SÉPARATION DE SOURCES EN MUSIQUE (slides) (in French) [PDF]

Laurent Daudet, Université Paris Diderot / IUF, Institut Langevin, Paris, France (2011)

SÉPARATION DES SONS MUSICAUX. APPROCHE BAYÉSIENNE ET MÉTHODE DE MONTE-CARLO (in French) [PDF]

Chloé Clavel, Laboratoire de Traitement du Signal et des Images - ENST, Telecom Paris (2003)

SEPARATION OF ACOUSTIC SIGNALS USING SELF-ORGANIZING NEURAL NETWORKS [permalink]

Gautama, T. ; Lab. voor Neuro- en Psychofysiologie, Katholieke Univ., Leuven, Belgium ; Van Hulle, M.M. (1999)

SEPARATION OF A MONAURAL AUDIO SIGNAL INTO HARMONIC/PERCUSSIVE COMPONENTS BY COMPLEMENTARY DIFFUSION ON SPECTROGRAM [PDF]

Nobutaka Ono, Kenichi Miyamoto, Jonathan Le Roux, Hirokazu Kameoka, and Shigeki Sagayama, Department of Information Physics and Computing,

Graduate School of Information Science and Technology, The University of Tokyo (2008)

SEPARATION OF DRUM AND BASS FROM MONAURAL TRACKS [permalink]

Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini, Department of Information Engineering, Electronics and Telecommunications (DIET), “Sapienza” University of Rome, Rome, Italy (2018)

SEPARATION OF DRUMS FROM POLYPHONIC MUSIC USING NON-NEGATIVE MATRIX FACTORIZATION AND SUPPORT VECTOR MACHINE [PDF]

Marko Helén, Tuomas Virtanen, Institute of Signal Processing, Tampere University of Technology, Tampere, Finland (2005)

SEPARATION OF HARMONIC SOUNDS USING LINEAR MODELS FOR THE OVERTONE SERIES [PDF]

Tuomas Virtanen, Anssi Klapuri, Signal Processing Laboratory, Tampere University of Technology, Tampere, Finland (2002)

SEPARATION OF HARMONIC SOUNDS USING MULTIPITCH ANALYSIS AND ITERATIVE PARAMETER ESTIMATION [PDF]

Tuomas Virtanen, Anssi Klapuri, Signal Processing Laboratory, Tampere University of Technology, Tampere, Finland (2001)

SEPARATION OF HARMONIC SOUND SOURCES USING SINUSOIDAL MODELING [PDF]

Tuomas Virtanen, Anssi Klapuri, Signal Processing Laboratory, Tampere University of Technology, Tampere, Finland (2000)

SEPARATION OF HARMONIC STRUCTURES BASED ON TIED GAUSSIAN MIXTURE MODEL AND INFORMATION CRITERION FOR CONCURRENT SOUNDS [PDF direct download]

Hirokazu Kameoka, Takuya Nishimoto and Shigeki Sagayama, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan (2005)

SEPARATION OF INDIVIDUAL INSTRUMENTAL SOUNDS IN MONAURAL MUSIC SIGNALS APPLYING A MODIFIED WIENER FILTER WITH A PARAMETER IDENTIFICATION TECHNIQUE ON THE TIME-FREQUENCY PLANE [PDF]

Yukio Fukayama and Shoya Ogawa, Graduate School of Science and Technology, Hiroshima Institute of Technology, Hiroshima City, Japan (2014)

SEPARATION OF INSTRUMENTS

Steven T. Wright and Justin C. Zito, EEL 6586

SEPARATION OF INSTRUMENT SOUNDS USING NON-NEGATIVE MATRIX FACTORIZATION WITH SPECTRAL ENVELOPE CONSTRAINTS [PDF]

Jeongsoo Park, Jaeyoung Shin and Kyogu Lee, Senior Member, IEEE (2018)

SEPARATION OF MIXED AUDIO SOURCES BY INDEPENDENT SUBSPACE ANALYSIS [PDF]

Michael A. Casey and Alex Westner, Mitsubishi Electric Research Labs, Cambridge, Massachusetts, USA (2001)

SEPARATION OF MIXED PLURAL SOUND SOURCES IN INSTRUMENTAL MUSIC USING BUTTERWORTH PARALLEL BPF [PDF]

Yusuke Yamaguchi†, Shigeyoshi Nakajima‡ and Takashi Toriu‡, Fac. of ENG, Osaka City Univ., Sumiyoshi-ku, Osaka City, Japan (2011)

SEPARATION OF MONOPHONIC MUSIC SIGNAL BASED ON USER-GUIDED ONSET INFORMATION [PDF]

Jeongsoo Park, Kyogu Lee, Music and Audio Research Group, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea (2014)

SEPARATION OF MUSIC AND VOICE USING DEEP LEARNING

Navneet Agarwal (2020)

SEPARATION OF MUSICAL INSTRUMENTS BASED ON PERCEPTUAL AND STATISTICAL PRINCIPLES [PDF direct download]

Lino García, Javier Casajús-Quirós, Universidad Politécnica de Madrid, ETSI Telecomunicación, Madrid, Spain (1999)

SEPARATION OF MUSICAL NOTES OF DRUM, BASS, GUITAR AND VOCALS MELODY USING NON-NEGATIVE TECHNIQUE [PDF]

Mr. Jaywant Vilasrao Patil *, Mr.Zakir Mujeeb Shaikh, * Department of Computer Engineering, N.K.Orchid College of Engineering, Maharashtra, India (2015)

SEPARATION OF MUSICAL NOTES WITH HIGHLY OVERLAPPING PARTIALS USING PHASE AND TEMPORAL CONSTRAINED COMPLEX MATRIX FACTORIZATION [PDF]

Yi-Ju Lin, Yu-Lin Wang, Alvin W.Y. Su, SCREAM Lab., Department of CSIE, National Cheng-Kung University, Tainan, Taiwan, Li Su,Research Center for Information Technology Innovation, Academia Sinica,Taipei, Taiwan (2015)

SEPARATION OF MUSICAL SOURCES AND STRUCTURE FROM SINGLE-CHANNEL POLYPHONIC RECORDINGS [PDF]

Mark Robert Every, University of York, Department of Electronics (2006)

SEPARATION OF MUSIC SIGNALS BY HARMONIC STRUCTURE MODELING [PDF]

Yun-Gang Zhang, Chang-Shui Zhang, Department of Automation Tsinghua University, Beijing, China (2006)

SEPARATION OF OVERLAPPING IMPULSIVE SOUNDS BY BANDWISE NOISE INTERPOLATION [PDF]

Mark R. Every and John E. Szymanski, Media Engineering Group, Department of Electronics, University of York, York, U.K. (2005)

SEPARATION OF POLYPHONIC MUSICAL SOUND AND ESTIMATION OF MUSICAL INSTRUMENTS USING RESONATOR COMB FILTERS (in Japanese) [PDF]

Tokairin Tomoya, Kitami Shinichiro and Muroya Ryohei, National Institute of Technology, Hakodate College, Japan (2008)

SEPARATION OF POLYPHONIC RECORDINGS USING INSTRUMENT PRINTS [PDF]

Kristóf Aczél, Budapest University of Technology and Economics, Department of Automation and Applied Informatics (2010)

SEPARATION OF SINGING VOICE AND MUSIC [PDF]

Tengli Fu, School of Electrical and Computer Engineering, Cornell University (2016)

SEPARATION OF SINGING VOICE AND MUSIC (poster) [PDF]

Tengli Fu, School of Electrical and Computer Engineering, Cornell University (2016)

SEPARATION OF SINGING VOICE FROM BACKGROUND MUSICAL NOISE USING MODIFIED NMF AND FILTERING [permalink]

Snehal S. Gaikwad, Pallavi P. Ingale, Dr. S. L. Nalbalwar, Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University, Lonere, India (2016)

SEPARATION OF SINGING VOICE FROM MUSIC ACCOMPANIMENT FOR MONAURAL RECORDINGS [permalink]

Yipeng Li, Student Member, IEEE, and DeLiang Wang, Fellow, IEEE, IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 15, NO. 4 (2007)

SEPARATION OF SINGING VOICE FROM MUSIC ACCOMPANIMENT WITH UNVOICED SOUNDS RECONSTRUCTION FOR MONAURAL RECORDINGS [permalink]

Chao-Ling Hsu, Jyh-Shing Roger Jang, and Te-Lu Tsai, National Tsing Hua University; Institute for Information Industry, Taiwan (2008)

SEPARATION OF SINGING VOICE FROM MUSIC ACCOMPANIMENT WITH UNVOICED SOUNDS RECONSTRUCTION FOR MONAURAL RECORDINGS (slides) [PPT]
Chao-Ling Hsu, Jyh-Shing Roger Jang, and Te-Lu Tsai, National Tsing Hua University; Institute for Information Industry, Taiwan (2008)

SEPARATION OF SINGING VOICE FROM MUSIC BACKGROUND [PDF]

Harshada Burute, Research Student, Electronics Department AISSMS’s, IOIT, Pune, India, P.B. Mane, PhD Principal AISSMS’s, IOIT, Pune, India (2015)

SEPARATION OF SINGING VOICE FROM MUSIC EXPLOITING ITS DISTINCT CHARACTERISTICS [PDF]

Chungli Young, Graduate School of Convergence Science and Technology, Seoul National University (2018)

SEPARATION OF SINGING VOICE USING NONNEGATIVE MATRIX PARTIAL CO-FACTORIZATION FOR SINGER IDENTIFICATION [permalink]

Ying Hu, Guizhong Liu, School of Electronic and Information Engineering, Xian Jiaotong University, Xian, China (2015)

SEPARATION OF SOUND SOURCES BY CONVOLUTIVE SPARSE CODING [PDF]

Tuomas Virtanen, Institute of Signal Processing, Tampere University of Technology, Tampere, Finland (2004)

SEPARATION OF SOUND SOURCES BY HUMANS AND MACHINES (slides) [PDF]

Martin Cooke, Speech and Hearing Research, Department of Computer Science, University of Sheffield (2006)

SEPARATION OF SPEECH AND MUSIC SOURCES FROM A SINGLE-CHANNEL MIXTURE USING DISCRETE ENERGY SEPARATION ALGORITHM [PDF]

Yevgeni Litvin, Israel Cohen, Department of Electrical Engineering, Technion - Israel Institute of Technology, Dan Chazan, IBM Research Laboratory, Haifa, Israel (2010)

SEPARATION OF SPEECH & MUSIC USING TEMPORAL-SPECTRAL FEATURES AND NEURAL CLASSIFIERS [permalink]

Omkar Sawant, Anirban Bhowmick, SEEE, VIT Bhopal University, Bhopal, India, Ganesh Bhagwat, Mercedez-Benz, Bangalore, India (2023)

SEPARATION OF SYNCHRONOUS PITCHED NOTES BY SPECTRAL FILTERING OF HARMONICS [permalink]

Mark R. Every, John E. Szymanski (2006)

SEPARATION OF TABLA FROM SINGING VOICE USING PERCUSSIVE FEATURE DETECTION IN A POLYPHONIC CHANNEL [PDF]

Neeraj Dubey *, Parveen Lehana**, and Maitreyee Dutta**, *Dept of CSE,GCET, Jammu, **Dept of Physics and Electronics, University of Jammu, **Dept of CSE, NITTTR, Chandigarh (2010)

SEPARATION OF TONAL AND TRANSIENT COMPONENTS FOR SOUND DESIGN REMIXING [PDF]

Patrick Boussard, Hélène Lachambre, Guillaume Stempfel and Stéphane Molla, Genesis S.A., France, Giovanni Amadasi, Vibro-Acoustic SCS & Partners, Italy (2015)

SEPARATION OF TRANSIENT INFORMATION IN MUSICAL AUDIO USING MULTIRESOLUTION ANALYSIS TECHNIQUES [PDF]

Chris Duxbury, Mike Davies, Mark Sandler, Department of Electronic Engineering, Queen Mary, University of London, London, UK (2001)

SEPARATION OF UNVOICED FRICATIVES IN SINGING VOICE MIXTURES WITH SEMI-SUPERVISED NMF [PDF]

Jordi Janer, Ricard Marxer, Music Technology Group, Universitat Pompeu Fabra, Proc. of the 16th Int. Conference on Digital Audio Effects (DAFx-13), Maynooth, Ireland (2013)

SEPARATION OF VOCAL AND NON-VOCAL COMPONENTS FROM AUDIO CLIP USING CORRELATED REPEATED MASK (CRM) [PDF]

Mohan Kumar Kanuri, University of New Orleans (2017)

SEPARATION OF VOCALS FROM MONAURAL MUSIC RECORDINGS USING DIAGONAL MEDIAN FILTERS AND PRACTICAL TIME-FREQUENCY PARAMETERS [permalink]

Hatem Deif, Derry FitzGerald, Wenwu Wang, Lu Gan, College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, Middlesex, UK (2015)

SEPARATION OF VOCALS FROM MONAURAL MUSIC RECORDINGS USING DIAGONAL MEDIAN FILTERS AND PRACTICAL TIME-FREQUENCY PARAMETERS (sound samples)

Hatem Deif, Derry FitzGerald, Wenwu Wang, Lu Gan, College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, Middlesex, UK (2015)

SEPARATION OF VOCALS FROM POLYPHONIC AUDIO RECORDINGS [PDF]

Shankar Vembu, Stephan Baumann, Queen Mary University of London (2005)

SEPARATION OF VOICE AND MUSIC BY HARMONIC STRUCTURE STABILITY ANALYSIS [permalink]

Yun-Gang Zhang, Chang-Shui Zhang, Department of Automation, Tsinghua University, Beijing, China (2005)

SÉPARATION VOIX / MUSIQUE À PARTIR D’ENREGISTREMENTS MONO : QUELQUES REMARQUES SUR LE CHOIX ET L’ADAPTATION DES MODÈLES (in French) [PDF]

Alexey Ozerov1, Rémi Gribonval2, Pierrick Philippe1, Frédéric Bimbot2, 1France Télécom R&D, Cesson Sévigné cedex, France, 2IRISA (CNRS & INRIA) - projet METISS Campus de Beaulieu, Rennes Cedex, France (2005)

SEPMLP: AN ALL-MLP ARCHITECTURE FOR MUSIC SOURCE SEPARATION [permalink]

Jiale Qian, Yongwei Gao, Weixing Wei, Jiahao Zhao & Wei Li (2022)

SEP-STEREO: VISUALLY GUIDED STEREOPHONIC AUDIO GENERATION BY ASSOCIATING SOURCE SEPARATION

Hang Zhou, Xudong Xu, Dahua Lin, Xiaogang Wang, Ziwei Liu, Multimedia Laboratory, The Chinese University of Hong Kong (2020)

SEP-STEREO: VISUALLY GUIDED STEREOPHONIC AUDIO GENERATION BY ASSOCIATING SOURCE SEPARATION (demo video)

Hang Zhou, Xudong Xu, Dahua Lin, Xiaogang Wang, Ziwei Liu, Multimedia Laboratory, The Chinese University of Hong Kong (2020)

S.E.S.: STRING ENSEMBLE SEPARATION [PDF]

Da-Yun Choi, Taehun Choe, School of Electrical Engineering, KAIST, Yuseong, Daejeon, South Korea (2022)

SFSRNET: SUPER-RESOLUTION FOR SINGLE-CHANNEL AUDIO SOURCE SEPARATION [PDF direct download]

Joel Rixen, Matthias Renz, Department of Computer Science, Kiel University, Germany (2022)

SHALLOW AND DEEP LEARNING FOR AUDIO AND NATURAL LANGUAGE PROCESSING [PDF]

Po-Sen Huang, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA (2015)

SHIFTED AND CONVOLUTIVE SOURCE-FILTER NON-NEGATIVE MATRIX FACTORIZATION FOR MONAURAL AUDIO SOURCE SEPARATION [PDF]

Tomohiko Nakamura† and Hirokazu Kameoka†,‡, †Graduate School of Information Science and Technology, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan, ‡NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato Wakamiya, Atsugi, Kanagawa, Japan (2016)

SHIFTED NMF USING AN EFFICIENT CONSTANT-Q TRANSFORM FOR MONAURAL SOUND SOURCE SEPARATION [PDF]

Derry FitzGerald - Dublin Institute of Technology, Rajesh Jaiswal - Dublin Institute of Technology, Eugene Coyle - Dublin Institute of Technology,

Scott Rickard - University College Dublin (2011)

SHIFTED NMF WITH GROUP SPARSITY FOR CLUSTERING NMF BASIS FUNCTIONS [PDF]

Rajesh Jaiswal, Derry FitzGerald, Eugene Coyle, Audio Research Group, Department of Electrical Engineering, Dublin Institute of Technology, Dublin, Ireland, Scott Rickard, Department of Electronic Engineering, University College Dublin, Dublin, Ireland (2012)

SHIFT-INVARIANT KERNEL ADDITIVE MODELLING FOR AUDIO SOURCE SEPARATION [PDF]

Delia Fano Yela, Sebastian Ewert, Ken O’Hanlon and Mark B. Sandler, Queen Mary University of London, UK (2017)

SHIFT-INVARIANT SPARSE CODING FOR SINGLE CHANNEL BLIND SOURCE SEPARATION [PDF]

T. Blumensath, M. Davies, Queen Mary, University of London, Department of Electronic Engineering, London, UK (2005)

SHORT TERM SPECTRAL ANALYSIS, SYNTHESIS, AND MODIFICATION BY DISCRETE FOURIER TRANSFORM [PDF]

Jont B. Allen, Bell Laboratories, Murray Hill, New Jersey, USA (1977)